Generative AI for Software Development
Generative AI for Software Development
Published 8/2025
Duration: 3h 21m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 1007.35 MB
Genre: eLearning | Language: English
Published 8/2025
Duration: 3h 21m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 1007.35 MB
Genre: eLearning | Language: English
Transforming Code Creation, Optimization, and Delivery with AI-Powered Innovation
What you'll learn
- Understand and Apply Generative AI Models: Demonstrate a solid understanding of key generative AI models, such as transformers, GANs, and VAEs, and apply them
- Chatbots and Conversational AI for Software Development
- Hands-On Gen AI Tools for Developers
- Understanding Key Generative AI Models
- Applications of Gen AI in Software Development
Requirements
- Understanding of software development practices (e.g., Python, Java, etc.)
- Interest in exploring AI tools and frameworks
Description
This session explores how Generative AI is revolutionizing the software development lifecycle—from automating code generation and refactoring to enhancing design, testing, and documentation. Learn practical use cases, tools, and frameworks that enable developers to accelerate delivery, improve quality, and unlock creative problem-solving. Whether you’re a backend engineer, frontend developer, or architect, discover how AI can become your collaborative coding partner, streamlining workflows and boosting productivity.
The primary thought of"Generative AI for Software Development"is that AI can act as an intelligent collaborator throughout the software development lifecycle—automating repetitive coding tasks, assisting in design and testing, and enabling faster, higher-quality delivery—so developers can focus more on creativity, problem-solving, and innovation.
Benefits of “Generative AI for Software Development” for developers:
Faster Coding:AI-assisted code generation reduces time spent writing boilerplate code, allowing developers to focus on complex logic.
Better Code Quality:AI can suggest optimizations, detect bugs early, and enforce best practices, leading to cleaner, more maintainable code.
Smarter Debugging & Testing:Automated test case generation and intelligent error detection help reduce defects and speed up QA cycles.
Enhanced Productivity:Streamlined workflows mean less time on repetitive tasks and more on building innovative features.
Continuous Learning:Working with AI exposes developers to new patterns, libraries, and frameworks they might not encounter otherwise.
Improved Collaboration:AI-generated documentation, summaries, and architecture diagrams help teams communicate more effectively.
Reduced Cognitive Load:With AI handling mundane coding chores, developers can dedicate mental energy to problem-solving and creative solutions.
Who this course is for:
- Software Developers who want to venture into Gen AI
More Info